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Automated methods for surveillance of surgical site infections.

Automated data, especially from pharmacy and administrative claims, are available for much of the U.S. population and might substantially improve both inpatient and postdischarge surveillance for surgical site infections complicating selected procedures, while reducing the resources required. Potent...

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Detalles Bibliográficos
Autores principales: Platt, R, Yokoe, D S, Sands, K E
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2001
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631728/
https://www.ncbi.nlm.nih.gov/pubmed/11294709
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author Platt, R
Yokoe, D S
Sands, K E
author_facet Platt, R
Yokoe, D S
Sands, K E
author_sort Platt, R
collection PubMed
description Automated data, especially from pharmacy and administrative claims, are available for much of the U.S. population and might substantially improve both inpatient and postdischarge surveillance for surgical site infections complicating selected procedures, while reducing the resources required. Potential improvements include better sensitivity, less susceptibility to interobserver variation, more uniform availability of data, more precise estimates of infection rates, and better adjustment for patients' coexisting illness.
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spelling pubmed-26317282009-05-20 Automated methods for surveillance of surgical site infections. Platt, R Yokoe, D S Sands, K E Emerg Infect Dis Research Article Automated data, especially from pharmacy and administrative claims, are available for much of the U.S. population and might substantially improve both inpatient and postdischarge surveillance for surgical site infections complicating selected procedures, while reducing the resources required. Potential improvements include better sensitivity, less susceptibility to interobserver variation, more uniform availability of data, more precise estimates of infection rates, and better adjustment for patients' coexisting illness. Centers for Disease Control and Prevention 2001 /pmc/articles/PMC2631728/ /pubmed/11294709 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research Article
Platt, R
Yokoe, D S
Sands, K E
Automated methods for surveillance of surgical site infections.
title Automated methods for surveillance of surgical site infections.
title_full Automated methods for surveillance of surgical site infections.
title_fullStr Automated methods for surveillance of surgical site infections.
title_full_unstemmed Automated methods for surveillance of surgical site infections.
title_short Automated methods for surveillance of surgical site infections.
title_sort automated methods for surveillance of surgical site infections.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631728/
https://www.ncbi.nlm.nih.gov/pubmed/11294709
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